Association of the Triglyceride/High-Density Lipoprotein Cholesterol Index with Insulin Resistance in a Pediatric Population in Northeast Mexico

Significance of Triglyceride-to-High-Density Lipoprotein Cholesterol Ratio in Children with Non-Alcoholic Fatty Liver Disease

Purpose

Nonalcoholic fatty liver disease (NAFLD) is associated with obesity and metabolic syndrome. This study evaluated the significance of markers such as the triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio and TG-glucose (TyG) indices in a group of patients with NAFLD.

Methods

We retrospectively analyzed the data of patients aged 5-18 years diagnosed with NAFLD between January 2014 and January 2021.

Results

Among the 151 patients with NAFLD, 79.5% were found to be obese, and the mean TG/HDL-C ratio (3.78±2.54 vs. 3.13±2.24) and TyG index (4.69±0.28 vs. 4.56±0.30) were slightly higher in patients with obesity compared to those without obesity. Patients with severe hepatic steatosis had a significantly higher mean TG/HDL-C ratio (4.11±2.16 vs. 3.11±2.30, p=0.035) than those with mild to moderate steatosis. Severe hepatic steatosis grade was defined as an area under the receiver operating characteristic curve of the TG/HDL-C ratio of 0.760 (95% confidence interval, 0.544-0.875), with an optimal cutoff value of 3.37.

Conclusion

A high TG/HDL-C ratio is associated with severe hepatic steatosis and diabetes mellitus in children with NAFLD. Measurement of this ratio can help clinicians in identifying patients and targeting them for treatment and follow-up.

The TG/HDL-c Lipid Ratio as a Cardiovascular Risk Marker in a Mexican Urban Middle-Class Population: Do We Need a Risk Score Tailored for Mexicans?

INTRODUCTION

Risk scores are essential in primary prevention to detect high-risk patients. The most common scores exclude hypertriglyceridemia and abdominal obesity in their risk assessment. We examined the triglyceride/HDL-cholesterol (TG/HDL-c) ratio as a cardiovascular (CV) risk marker in a middle-class urban Mexican population sample.

AIM

Our aim was to test the concept of a scoring system reflecting Mexican population characteristics.

METHODS

A total of 2602 healthy adults from the Lindavista primary prevention program were considered, evaluating gender, age, blood pressure, smoking, body mass index, waist circumference, lipid profile, and fasting glucose. According to the abnormality, a score from -3 to +3 was assigned.

RESULTS

The summation of eleven variables yielded the Lindavista score (LS), which was calibrated versus the TG/HDL ratio and ACC ASCVD Risk Estimator Plus score to determine its correlation with risk categories. The TG/HDL-c ratio had a linear correlation with LS and high-risk ACC ASCVD categories.

CONCLUSIONS

Compared with LS and TG/HDL-c, the ACC ASCVD system underestimates the high-risk category. The high prevalence of obesity and lipid triad in the Mexican population requires a scale that considers those traits. The TG/HDL-c ratio is a practical, easy, and economical instrument to categorize risk in Mexicans.

Causal Graph Among Serum Lipids and Glycemic Traits: A Mendelian Randomization Study

We systematically investigated the bidirectional causality among HDL cholesterol (HDL-C), LDL cholesterol (LDL-C), triglycerides (TGs), fasting insulin (FI), and glycated hemoglobin A1c (HbA1c) based on genome-wide association summary statistics of Europeans (n = 1,320,016 for lipids, 151,013 for FI, and 344,182 for HbA1c). We applied multivariable Mendelian randomization (MR) to account for the correlation among different traits and constructed a causal graph with 13 significant causal effects after adjusting for multiple testing (P < 0.0025). Remarkably, we found that the effects of lipids on glycemic traits were through FI from TGs (β = 0.06 [95% CI 0.03, 0.08] in units of 1 SD for each trait) and HDL-C (β = -0.02 [-0.03, -0.01]). On the other hand, FI had a strong negative effect on HDL-C (β = -0.15 [-0.21, -0.09]) and positive effects on TGs (β = 0.22 [0.14, 0.31]) and HbA1c (β = 0.15 [0.12, 0.19]), while HbA1c could raise LDL-C (β = 0.06 [0.03, 0.08]) and TGs (β = 0.08 [0.06, 0.10]). These estimates derived from inverse-variance weighting were robust when using different MR methods. Our results suggest that elevated FI was a strong causal factor of high TGs and low HDL-C, which in turn would further increase FI. Therefore, early control of insulin resistance is critical to reduce the risk of type 2 diabetes, dyslipidemia, and cardiovascular complications.

Triglyceride to high-density lipoprotein cholesterol ratio in adolescence as a predictive marker of metabolic syndrome and obesity in early adulthood in China

OBJECTIVE

To explore serum triglyceride (TG) to high-density cholesterol (HDL-C) ratio as a diagnostic marker of metabolic syndrome (MetS) in adolescents and its efficacy in predicting MetS and obesity in the early adulthood.

METHODS

A stratified cluster random sampling method was used to select a total of 935 subjects from senior and junior high schools in Liaoyang, northeast China. The subjects were physically examined and laboratory evaluation was performed. A follow-up examination was performed after 5 years on some (n = 93) of the subjects who had reached adulthood.

RESULTS

TG/HDL-C had significantly high diagnostic accuracy for MetS than HOMA-IR, TG or HDL-C. Subjects with the highest TG/HDL-C at baseline had higher risk of MetS (odds ratio [OR] = 11.65) and obesity (OR = 4.32) in early adulthood.

CONCLUSION

TG/HDL-C ratio has a strong and independent ability in diagnosing MetS in adolescents and predicting the occurrence of MetS and obesity in their early adulthood.

Prediction of Insulin Resistance Based on Anthropometric and Clinical Variables in Children with Overweight or Obesity at a Tertiary Center in Northeast Mexico

Background: This study provides a clinical model to identify children with insulin resistance (IR) in health care units where laboratory tests are not readily available. Methods: A retrospective study of Mexican children aged 2-16 years at an obesity (OB) clinic. A receiver operating characteristic (ROC) curve was used to assess the accuracy of the proposed model consisting of clinical parameters and to establish the cutoff value for the variables (439 children). A second cohort of children with similar characteristics served as the cohort for the validation of the model (577 children). Results: To determine the best model for predicting IR, we performed a multivariate logistic regression analysis, which showed that waist circumference, acanthosis nigricans, and pubertal status are independent predictors of IR, and when integrated, their predictive power increases. Based on this model, we constructed a simplified equation. The predictive tool was constructed using an ROC curve, with an area under the curve of 0.849. A cutoff value of 7.68 was selected based on the Youden Index, with sensitivity and specificity of 78.3% and 83.3%, respectively. Incorporating metabolic laboratory determinations with a cutoff value of 20.64 improved the sensitivity to 94.9%. Conclusions: We developed a simple and affordable method of identifying IR in children with overweight or OB based on anthropometric variables and routine blood tests for metabolic indicators, such as glucose and triglycerides, which can be implemented in underserved sites.

Associations between TG/HDL ratio and insulin resistance in the US population: a cross-sectional study

BACKGROUND

Clinical data on the relationship between triglycerides (TG)/HDL ratio and insulin resistance (IR) suggest that TG/HDL ratio may be a risk factor for IR. However, there is evidence that different races have different risk of developing IR. The relationship on TG/HDL ratio and IR in various populations needs to be improved. Therefore, we investigated whether TG/HDL ratio was linked to IR in different groups in the United States after controlling for other covariates.

METHODS

The current research was conducted in a cross-sectional manner. From 2009 to 2018, the National Health and Nutrition Examination Survey (NHANES) had a total of 49,696 participants, all of whom were Americans. The target-independent variable was TG/HDL ratio measured at baseline, and the dependent variable was IR. Additionally, the BMI, waist circumference, education, race, smoking, alcohol use, alanine transaminase, aspartate transaminase, and other covariates were also included in this analysis.

RESULTS

The average age of the 10,132 participants was 48.6 ± 18.4 years, and approximately 4936 (48.7%) were males. After correcting for confounders, fully adjusted logistic regression revealed that TG/HDL ratio was correlated with IR (odds ratio = 1.51, 95% CI 1.42-1.59). A nonlinear interaction between TG/HDL ratio and IR was discovered, with a point of 1.06. The impact sizes and CIs on the left and right sides of the inflection point were 6.28 (4.66-8.45) and 1.69 (1.45-1.97), respectively. According to subgroup analysis, the correlation was strong in females, alcohol users, and diabetes patients. Meanwhile, the inverse pattern was observed in the aged, obese, high-income, and smoking populations.

CONCLUSION

In the American population, the TG/HDL ratio is positively associated with IR in a nonlinear interaction pattern.

Second-trimester maternal lipid profiles rather than glucose levels predict the occurrence of neonatal macrosomia regardless of glucose tolerance status: A matched cohort study in Beijing

AIMS

The mechanism underlying fetal overgrowth during pregnancy remains elusive. We aimed to establish a predictive model to identify the high-risk individuals with macrosomia in the second trimester of pregnancy.

DESIGN

A total of 2577 pregnant women with a routine 75-g oral glucose tolerance test during 24-28 gestational weeks were screened in a prospective cohort. Gestational diabetes mellitus (GDM) cases were 1:1 matching with age (±2 years) in normal glucose tolerance (NGT) ones from the same region. Multivariate logistic regression analysis and receiver operating characteristic (ROC) curve were performed to determine the index and its inflection point for predicting macrosomia occurrence.

RESULTS

The data of perinatal outcomes of 565 GDM and 549 NGT who had given birth to single live babies at term were analyzed. Notably, we found serum apolipoprotein B (ApoB) level higher than 4.04 g/L combined with triglycerides (TG)/high-density lipoprotein cholesterol (HDLC) ratio above 1.36 formed the predictive model in both groups. The area under the ROC curve of this predictive model included ApoB and TG/HDL-C reached 0.807 (95% CI: 0.771-0.873) with a sensitivity of 71.9% and a specificity of 78.6%. Mediation analysis revealed that ApoB and TG/HDL-C ratio mediated the harmful effect of FBG on the risk of macrosomia.

CONCLUSION

Maternal ApoB levels and TG/HDL-C ratio could predict macrosomia occurrence in pregnancy, which might be a new target for early intervention to prevent excess fetal growth.